The MAMA AI

🌟 Pojďte si pohrát s budoucností! 🌟 21. a 22. ledna 2025 pořádáme další MAMA AI Academy – místo, kde se umělá inteligence stává vaším spojencem. 👩💻 Co vás čeká? Naučíte se vytvořit vlastního voicebota (a to za méně než 20 minut!). Srozumitelně vám přiblížíme základy AI a její praktické aplikace. Objevíte nové možnosti využití AI ve firmě i v osobním životě. Získáte inspiraci, jak AI využít pro zlepšení svých výsledků. Potkáte stejně naladěné nadšence z různých oborů. A když si přinesete notebook nebo tablet, budete si moci užít praktická cvičení naplno i bez znalosti programování. 👉 Detaily najdete na https://aiacademy.cz 🎯 Pro koho je Academy? Pro každého, kdo chce porozumět možnostem AI a naučit se ji efektivně využívat – manažery, IT specialisty i zvídavé laiky. 📍 Kde? Praha 🎫 Registrace: Napište na academy@themama.ai a zajistěte si své místo! 🌐 Chcete program na míru jen pro váš firemní tým? Žádný problém – připravíme AI zážitek šitý na míru vašim potřebám! #MAMAAIAcademy #AIHrou #InovaceAI #ArtificialIntelligence

What Can Neural Network Embeddings Do That Fingerprints Can’t? "Fingerprints may retrieve molecules with electrostatically similar fragments or motifs; however, they cannot capture the overall ‘big picture.’ Tanimoto similarity is not always intuitive: parts of the retrieved molecules may contain the same chemical groups, but as a whole, they may represent an entirely different molecule chemically." Read the full blog: 👉 https://lnkd.in/ee_qx7p3 #cheese #drugdiscovery #fingerprints #techbio #chembl #pubchem #zinc #3Dshape #electrostatics #medchem #neuralnetworks #embeddings

Mama AI (with TELMA AI) is proud to be part of this successful project!

Just recently, we published a preprint in ChemRxiv about the technical and performance details of CHEESE Search: CHEESE: 3D Shape and Electrostatic Virtual Screening in a Vector Space: Link to the preprint: https://lnkd.in/d5WjZ4BP We would like to take this opportunity and invite all interested experts in the fields of drug discovery, medicinal chemistry and others to a deep dive session on the preprint. The important part will be the Q&A session where we always enjoy very relevant and lively discussion. #DrugDiscovery #VirtualScreening #MolecularDesign #CHEESE #deepmedchem #AI #Biotech #MachineLearning

A publication preprint about CHEESE Search is out! We at Deep MedChem are excited to share our most recent publication about CHEESE Search—an innovative framework for 3D shape and electrostatic virtual screening, is now available as a preprint on ChemRxiv! 🎉 https://lnkd.in/dBW9K7_V As many of you know—CHEESE (CHEmical Embeddings Search Engine) transforms ligand-based virtual screening by reformulating molecular similarity as an approximate nearest neighbour search, harnessing the power of vector databases. Unlike traditional methods limited by computational intensity, CHEESE offers orders of magnitude improvements in both speed and cost, effectively balancing precision and efficiency. Our preprint demonstrates its state-of-the-art performance across benchmarks like DUD-E and LIT-PCBA, with CHEESE excelling in both lead identification and resource optimisation. If you’re passionate about advancing molecular screening, take a closer look at CHEESE and benefit from us pushing the boundaries of what's possible in drug discovery. Try CHEESE Search here: https://lnkd.in/dZmNPuvp We are happy to hear your feedback and provide you with more details and options on how to use CHEESE. Feel free to reach out to me! #DrugDiscovery #VirtualScreening #MolecularDesign #CHEESE #deepmedchem #AI  #Biotech #MachineLearning

Na konci je vždy nejdůležitější spokojenost klienta. Dlouhodobě ji držíme velmi vysoko. Dnešní firemní MAMA AI Academy byla hybridní - s účastníky v místnosti i online. A je vždy o něco náročnější udržet pozornost online účastníků. Mentimeter nám v tom skvěle pomáhá, a to až do finálního hodnocení. Přihlaste se na naši nejbližší Academy ve dnech 19. a 20. 11. 2024, a to vždy odpoledne. Ale rádi pro vás provedeme tento workshop pouze pro váš tým a s programem podle vašeho přání. Napište na academy@themama.ai, těšíme se na vás. Jan Cuřín, Šimon Kos #AiAcademy

We at Deep MedChem are working hard on making partnerships that bring value to our users. We are extremely proud to bring eMolecules to our platform by making eXplore datasets part of the molecular DBs accessible by CHEESE Search (go to https://lnkd.in/dZmNPuvp to test CHEESE Search yourself). This is a great addition to the datasets as you can see for yourself visually through the tool CHEESE Explorer which visualises the distribution of molecules for various datasets in 2D and 3D views. (go to https://lnkd.in/dMgDgxXz to test CHEESE Explorer yourself). As always, I am happy to hear your thoughts on this improvement! #cheese #deepmedchem #AI #VirtualScreening #DrugDiscovery #explore #Biotech #MachineLearning

Duo Martin Čmejrek and Jan Cuřín representing TELMA AI telephony and The MAMA AI NLP at Seyfor Data&AI Breakfast today.

Jak zvýšit publikaci audiočlánků z 35 týdně na téměř 400 s využitím AI technologií si můžete poslechnout dnes na AI 4 Business v rámci #DnyAI

I enjoy the time talking to experts in the field of drug discovery in the context of AI-tools they use in their research work. And I am pleased by the amount of value they see in the tools they have at their finger tips these days. Some of the tools are directed at the computational chemists and others are easy to use even for medicinal chemists. Some tools provide value after additional coding around their API (application programming interface, not active pharmaceutical ingredient :-) ) or CLI (command-line interface). Other tools come with easy-to-consume graphical user interface. We at Deep MedChem are spanning many of the modes with the goal to provide easy to use GUI and at the same time we provide APIs or CLIs for automation of workflows and for some more advanced use cases. Lets take CHEESE Search: - you can use the GUI to perform smaller scale similarity searches with 3D shape or 3D Electrostatic similarity (or to test the tool in the first place); - you can embed CHEESE Search into your workflow by the APIs and many integration option the tool offers; - you can “batch search” - query by a sets of molecules (imagine actives and inactives) - you can index your own molecular libraries (imagine you DEL screening libraries) through the CLI to make them part of the set of DBs available. - you can extract actual embeddings representation of the molecules in the similarity latent space (and use these as features in downstream classification tasks)  - and more… Pls make sure to try CHEESE Search yourself and let me know your thoughts! https://lnkd.in/dZmNPuvp #cheese #deepmedchem #cheminformatics #artificialintelligence #ai #drugdiscovery #biotech #machinelearning